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Designing Self-Service Business Intelligence and Big Data Solutions (MS 20467)

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5 Days
Designing Self-Service Business Intelligence and Big Data Solutions (MS 20467)

 
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Course At A Glance

This course is one of five courses required to pass the MCSE: Business Intelligence exam.... READ MORE

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Designing Self-Service Business Intelligence and Big Data Solutions (MS 20467)

Course Length: 5 Days

This course is one of five courses required to pass the MCSE: Business Intelligence exam.

This five-day instructor-led course teaches students how to design and implement a BI infrastructure. The course discusses design, installation, and maintenance of a BI platform.


Course Objectives

After completing this course, students will be able to:

  • Plan the components of a BI solution
  • Plan a BI infrastructure
  • Design a data warehouse
  • Design an ETL solution
  • Plan analytical data models
  • Plan a BI delivery solution
  • Design a Reporting Services solution
  • Design an Excel reporting solution
  • Plan a SharePoint Server BI solution
  • Monitor and optimize a BI solution
  • Plan for BI operations

Pre-requisites

  • A basic understanding of dimensional modeling (star schema) for data warehouses
  • The ability to create Integration Services packages that include control flows and data flows
  • The ability to create a basic multidimensional cube with Analysis Services
  • The ability to create a basic tabular model with PowerPivot and Analysis Services
  • The ability to create Reporting Services reports with Report Designer
  • The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services
  • Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel

Students who attend this training can meet the prerequisites by attending the following courses, or obtaining equivalent knowledge and skills:

  • 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012
  • 10778A: Implementing Data Models and Reports with Microsoft SQL Server 2012

Designing Self-Service Business Intelligence and Big Data Solutions (MS 20467)

Module 1: Planning a BI Solution

    Lessons
  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform
    Lab: Planning a BI Solution
  • Exercise 1: Scoping a BI Solution.
  • Exercise 2: Reviewing a Suggested Solution

Module 2: Planning a BI

    Lessons
  • Planning a Data Warehouse Infrastructure
  • Planning an ETL Infrastructure
  • Planning Analysis Services Infrastructure
  • Planning Reporting Services Infrastructure
    Lab: Planning a BI Infrastructure
  • Exercise 1: Determining Required Servers
  • Exercise 2: Determining Data Warehouse Server Hardware Requirements
  • Exercise 3: Reviewing a Suggested Solution

Module 3: Designing a Data

    Lessons
  • Designing a Logical Schema
  • Designing a Physical Schema
    Lab: Designing a Data Warehouse Logical Schema
  • Exercise 1: Identifying Required Dimensions
  • Exercise 2: Identifying Measures and Hierarchies
  • Exercise 3: Designing a Data Warehouse Schema
  • Exercise 4: Reviewing a Suggested Solution
    Lab: Designing a Data Warehouse Physical Schema
  • Exercise 1: Planning Database Storage
  • Exercise 2: Designing Partitioning
  • Exercise 3: Designing Indexes
  • Exercise 4: Reviewing a Suggested Solution

Module 4: Designing an ETL

    Lessons
  • Planning for Data Extraction
  • Planning for Data Transformation
  • Planning for Data Loading
  • Planning for SSIS Package Deployment
    Lab: Designing an ETL Solution
  • Exercise 1: Reviewing Data Sources
  • Exercise 2: Creating Source-to-Target Maps
  • Exercise 3: Planning ETL Processes
  • Exercise 4: Reviewing a Suggested Solution

Module 5: Designing Analytical Data

    Lessons
  • Options for Analytical Models
  • Data Model Design Considerations
    Lab: Comparing Analytical Data Models
  • Exercise 1: Creating a Multidimensional Model
  • Exercise 2: Creating a Tabular Model
    Lab: Designing Data Models
  • Exercise 1: Designing Dimension Attributes
  • Exercise 2: Designing Data Model Aggregations and Storage
  • Exercise 3: Reviewing a Suggested Solution

Module 6: Planning a BI Delivery

    Lessons
  • Considerations for BI Delivery
  • Choosing a Delivery Approach
    Lab: Planning a BI Delivery Solution
  • Exercise 1: Assessing Reporting Requirements

Module 7: Designing a Reporting Services

    Lessons
  • Designing Reports
  • Considerations for Report Execution
  • Planning a Reporting Solution
    Lab: Designing a Reporting Services Solution
  • Exercise 1: Planning a Reporting Services Solution
  • Exercise 2: Planning a Report Delivery Environment
  • Exercise 3: Configuring Report Execution

Module 8: Designing an Excel-Based Reporting

    Lessons
  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel
    Lab: Designing an Excel Reporting Solution
  • Exercise 1: Planning Excel Features
  • Exercise 2: Analyzing a Cube with Excel
  • Exercise 3: Using PowerPivot
  • Exercise 4: Using Power View

Module 9: Planning a SharePoint Server BI

    Lessons
  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning Reporting Services Configuration
  • Planning PowerPivot Configuration
  • Planning for PerformancePoint Services
    Lab: Planning a SharePoint Server BI Solution
  • Exercise 1: Planning SharePoint Server Security
  • Exercise 2: Configuring Reporting Services in SharePoint Server
  • Exercise 3: Managing PowerPivot Data Refresh
  • Exercise 4: Reviewing PowerPivot Activity
  • Exercise 5 (Optional) Creating a PerformancePoint Dashboard

Module 10: Monitoring and Optimizing a BI

    Lessons
  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Optimizing Analysis Services
  • Monitoring and Optimizing Reporting Services
    Lab: Monitoring and Optimizing a BI Solution
  • Exercise 1: Monitoring and Optimizing a Data Warehouse
  • Exercise 2: Troubleshooting Analysis Services Queries
  • Exercise 3: Monitoring and Optimizing Reporting Services

Module 11: Planning BI

    Lessons
  • Overview of BI Operations
  • Automating ETL Tasks
  • Post ETL Tasks
  • Planning a Backup Strategy for a BI Solution
    Lab: Planning BI Operations
  • Exercise 1: Planning ETL and Processing Tasks
  • Exercise 2: Planning a Backup Strategy

MCSE: Business Intelligence 2014

The globally recognized standard for IT professionals

Prove that you have the skills and techniques needed to design, build, and deploy solutions that deliver more data to more people across the organization.

Earning an MCSE: Business Intelligence certification will qualify for a position as a BI and reporting engineer.

Step

Exam title

Optional training

Required exam

1

Querying Microsoft SQL Server 2014

20461
461

2

Administering Microsoft SQL Server 2014 Databases

20462462

3

Implementing a Data Warehouse with Microsoft SQL Server 2014
After successfully completing steps 1-3, you'll earn a Microsoft Certified Solutions Associate (MCSA): SQL Server 2012 certification.

20463463

4

Implementing Data Models and Reports with Microsoft SQL Server 2014

20466464

5

Designing Self-Service Business Intelligence and Big Data Solutions

20467465

*At the Expert level, the MCSE: Data Platform (464/465) and MCSE: Business Intelligence (466/467) exams will not be updated with SQL Server 2014 content until April 2014.

If you earn your MCSE credential prior to the exam updates, you will not be tested on features of SQL Server 2014 or future releases until your recertification exam.

 

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